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Valence Advantages and Position-Taking in the U.S. Congress: An Empirical Test
Unformatted Document Text:  42 Table 8: The Effect of a Valence Advantage on U.S. Senate Incumbents’ Margins of Victory and Likelihoods of Winning, 1996-2002 Independent Variables Model 1 (Linear): Dep. Var.: Margin of Victory (Loss) in General Election (%) Coefficient (s.e.) Model 2 (Logit): Dep. Var.: Won = 1; 0 = Lost Coefficient (s.e.) Valence Advantage: Project Outlays/State Popu. 7.097 (3.251)** 0.721 (1.045) Deviation of Senator From Constituency Median (Absolute Value) 0.629 (5.046) -2.937 (1.100)*** Freshman Senator -3.741 (3.393) -0.952 (0.714) Quality Challenger in General Election -20.221 (3.630)*** -1.385 (0.738)* State Vote for Presidential Candidate of Incumbent’s Party (%) 0.848 (0.221)*** 0.079 (0.049) Constant -22.934 (12.925)* -0.167 (1.045) Wald χ 2 74.58*** 17.83*** N † 103 104 *p<0.10; **p<0.05; ***p<0.01; 2-tailed tests. Both equations are estimated with random-effects for each state. †Model 2 includes Senator Bob Smith (R-NH) who was defeated in the Republican primary, while he is obviously not included in Model 1 since the dependent variable is the general election margin.

Authors: Grose, Christian.
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42
Table 8: The Effect of a Valence Advantage on U.S. Senate Incumbents’
Margins of Victory and Likelihoods of Winning, 1996-2002








Independent Variables

Model 1 (Linear):

Dep. Var.: Margin of
Victory (Loss) in General
Election (%)

Coefficient (s.e.)

Model 2 (Logit):


Dep. Var.: Won = 1;
0 = Lost

Coefficient (s.e.)

Valence Advantage:
Project Outlays/State Popu.


7.097 (3.251)**


0.721 (1.045)

Deviation of Senator From
Constituency Median
(Absolute Value)



0.629 (5.046)



-2.937 (1.100)***

Freshman Senator

-3.741 (3.393)

-0.952 (0.714)

Quality Challenger in
General Election


-20.221 (3.630)***


-1.385 (0.738)*

State Vote for Presidential
Candidate of
Incumbent’s Party (%)



0.848 (0.221)***



0.079 (0.049)

Constant

-22.934 (12.925)*

-0.167 (1.045)

Wald χ
2

74.58***

17.83***

N

103

104
*p<0.10; **p<0.05; ***p<0.01; 2-tailed tests. Both equations are estimated with random-effects for each
state.
†Model 2 includes Senator Bob Smith (R-NH) who was defeated in the Republican primary, while he is
obviously not included in Model 1 since the dependent variable is the general election margin.


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